The Prediction of Academic Emotions on Cognitive Load in Hypermedia Learning Environment

摘要

The purpose of current study was to investigate the prediction of academic emotions (namely, happiness, sadness, anxiety, and angry) on each type of cognitive load (namely, intrinsic load, extraneous load, and germane load). Thirty university students were involved in the experiment which required them to study the circulatory topics in hypermedia learning environment with hierarchical navigation system. The findings showed that angry positively correlated with extraneous load, happiness positively correlated with germane load, and sadness positively correlated with fixation. Discussions of present findings were focused to understand the contribution of academic emotions on cognitive performance in hypermedia learning environment context.